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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Sinergi Jurnal Pengabdian Pada Masyarakat Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Computer Science and Information Technologies Teknomekanik International Journal of Robotics and Control Systems Automotive Experiences Electrician : Jurnal Rekayasa dan Teknologi Elektro Journal of Fuzzy Systems and Control (JFSC) Jurnal Penelitian Transportasi Darat Jurnal Elektronika dan Telekomunikasi
Hari Maghfiroh
Departement Of Electrical Engineering, Faculty Of Engineering, Universitas Sebelas Maret
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Transportation Other

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Constant current-fuzzy logic algorithm for lithium-ion battery charging Muhammad Nizam; Hari Maghfiroh; Azis Ubaidilah; Inayati Inayati; Feri Adriyanto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp926-937

Abstract

The lithium-ion (Li-ion) battery has a high demand because of its long cycle, reliability, high energy density, low toxic, low self-discharge rate, high power density, and high efficiency. However, lithium-ion batteries have sensitivity to over-charge, temperature, and charge discharge currents. The conventional battery charging system takes a very long time to charge which makes the battery temperature high. Therefore, a charger system that can maximize charging capacity, shorten charging time, and extend battery life is needed. In this study, a battery charging system was developed using the constant current–fuzzy (CC-fuzzy) control method. The aim is to get faster charging time and maintain battery life by limiting the battery charging temperature. The proposed charger system is dual mode which can be operated in both buck and boost mode. The experimental result shows that the proposed method is superior compared to the constant current constant voltage (CCCV) method in charging time. The CC-fuzzy method charging time is faster compared to the CCCV method by 25% and 12.5% in buck and boost modes, respectively. Whereas from the battery temperature, in buck mode, the proposed method has a lower temperature by 0.5 ⁰C and in the boost mode, each method has the same temperature.
PID optimal control to reduce energy consumption in DC-drive system Hari Maghfiroh; Muhammad Nizam; Supriyanto Praptodiyono
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v11.i4.pp2164-2172

Abstract

The control system that is widely used in industry is PID (Proportional Integral Derivative). Almost 90% of industries still use PID control systems because of its simplicity, applicability, and reliability. However, the weakness of PID is that it takes a long time to tune. PID control with good performance and low energy consumption can be achieved using GA tuning with the appropriate objective function. The contribution of this paper is to propose the implementation of LQR control in the form of PID using GA tuning with LQR objective function. The proposed algorithm was implemented both in the simulation and hardware which is a mini conveyor with a DC motor. The result shows that the proposed algorithm is better in both IAE and energy consumption compared with other PID tuning, Ziegler–Nichols (ZN), and GA with IAE objective function. Compared with PID ZN, it has IAE and energy reduction by 2.76% and 16.07% respectively. Although its performance is lower than the LQR, it has other advantages that use fewer sensors. The other advantage of the proposed method is, PID is more familiar using. Therefore, it easy to be implemented in the existing system without a lot of changes.
Hybrid fuzzy-PID like optimal control to reduce energy consumption Hari Maghfiroh; Chico Hermanu; Muhammad Hamka Ibrahim; Miftahul Anwar; Agus Ramelan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14535

Abstract

The electric motor is one of the appliances that consume considerable energy. Therefore, the control method which can reduce energy consumption with better performance is needed. The purpose of this research is to minimize the energy consumption of the DC motor with maintaining the performance using Hybrid Fuzzy-PID. The input of the Fuzzy system is the error and power of the system. Where error is correlated with matric Q and power is correlated with matric R. Therefore, adjusting the fuzzy rule on error and power is like adjust matrices Q and R in LQR method. The proposed algorithm can reduce energy consumption. However, system response is slightly decrease shown from ISE (Integral Square Error). The energy reduction average is up to 5.58% while the average of ISE increment is up to 1.89%. The more speed variation in the system, the more energy can be saved by the proposed algorithm. While in terms of settling time, the proposed algorithm has the longest time due to higher computation time in the fuzzy system. This performance can be increased by tuning fuzzy rules. This algorithm offers a solution for a complex system which difficult to be modeled.
Self-Balancing Robot Navigation Hari Maghfiroh; Henry Probo Santoso
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.25115

Abstract

Human activity has been increasing, to support the activity, people in the modern era create robots to replace some human activities. The interest in two-wheeled balance robots has continued to increase, this is because it is highly maneuverable, making it efficient for use in various areas. In this study, the online navigation of a two-wheeled self-balancing robot is done. The connection between the robot and online navigation is using a Wi-Fi connection. The world model base on the real room is created by Gazebo and then visualized in RVIZ. The map creation and navigation process are handled by the package provided by ROS. The results of the simulation and real tracking show that the robot can move from the starting point to the destination point in either a straight or a curved path. The difference of the final position of the robot between simulation and real tracking is only (15.4 cm, 4 cm) and (9.6 cm, 43 cm) for the straight and curved path. This result proved that online navigation can be used to navigate an autonomous robot without real navigation sensors.
Design and Prototyping of Electronic Load Controller for Pico Hydropower System Supriyanto Praptodiyono; Hari Maghfiroh; Muhammad Nizam; Chico Hermanu; Arif Wibowo
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 3 (2021): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i3.22271

Abstract

A hydroelectric power plant is an electrical energy generator that utilizes water energy to drive a water turbine coupled to a generator. The main problem in hydroelectric power plants is the frequency and voltage fluctuations in the generator due to fluctuations in consumer loads. The purpose of this research is to make a prototype of the Electronic Load Controller (ELC) system at the Pico Hydropower Plant. The main part of ELC is the frequency sensor and gating system. The first part is made by a Zero Crossing Detector, which detects the generator frequency. The gating system was developed with TRIAC. The method used is the addition of a complement load which is controlled by delaying the TRIAC. Load control is intended to maintain the stability of the electrical energy produced by the generator. The PID algorithm is used in frequency control. The results of the frequency sensor accuracy test are 99.78%, and the precision is 99.99%. The ELC system can adjust the frequency automatically by setting the firing delay on the TRIAC to distribute unused power by consumer loads to complementary loads so that the load used remains stable. The ELC is tested with increasing and decreasing load. The proposed ELC gives a stable frequency at 50Hz. Whereas at the first test, the mean voltage is 183V, and in the second test is 182.17V.
POSITION CONTROL OF VTOL SYSTEM USING ANFIS VIA HARDWARE IN THE LOOP Hari Maghfiroh; Chico Hermanu; Vernanda Sitorini Zul Hizmi
SINERGI Vol 25, No 3 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.3.008

Abstract

Electric motors have been widely applied in various equipment. One application is found in Unmanned Aerial Vehicles (UAVs). An electric motor speed control system that can balance the aircraft's position is one of the mandatory features that must be owned by the aircraft. The position balancer control also supports the Vertical Take-Off Landing (VTOL) system. This study's VTOL position control system uses Hardware-in-the-loop (HIL) method with MATLAB Simulink and Arduino. ANFIS (Adaptive Neuro-Fuzzy Inferences System) is used as a position control algorithm. The controller performance is compared with conventional PID and FLC (Fuzzy Logic Controller). The system is tested as an initial position variation and loading test. The experiment shows that HIL can help fast prototyping by faster changes in the controller algorithms and is easy to program. The result is varied in each experiment. In the ISE (Integral Square of Error) point of view, ANFIS is better than PID by 100 % and has a very small difference from FLC in the initial position test. ANFIS is better by 95.44% and 4.56% compared with PID and FLC in the loading test, respectively.
Pengenalan Teknologi Kendaraan Listrik untuk Siswa Sekolah Menengah Pertama (SMP) Hari Maghfiroh; Feri Adriyanto; Augustinus Sujono; Joko Slamet Saputro; R Lulus Lambang GH
Jurnal Pengabdian Pada Masyarakat Vol 6 No 1 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202161.639

Abstract

INTRODUCTION TO ELECTRIC VEHICLE FOR JUNIOR HIGH SCHOOL STUDENTS. The purpose of this service program is to introduce junior high school students to electric vehicle technology. The material presented is basic material covering the meaning, benefits, and components of electric vehicles. The socialization was carried out via online due to the corona outbreak. The explanation is done with a short video consisting of a simple explanation as well as a demo of the components of a real electric vehicle with an electric bicycle. In addition, students are also given a short ebook on the material. To find out students' understanding, a short quiz about the material was given. The result is an average score of 83.9%, which indicates that the participants' level of understanding is quite good with the material presented. The sample of basic questions about electric vehicles showed that only 3.8% of students were wrong. In the final conclusion, students have gained knowledge about electric vehicles through socialization activities that have been carried out.
Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink Hari Maghfiroh; Musyaffa’ Ahmad; Agus Ramelan; Feri Adriyanto
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.10964

Abstract

Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.
Dual Mode System of Smart Home Based on Internet of Things Chico Hermanu; Hari Maghfiroh; Henry Probo Santoso; Zainal Arifin; Catur Harsito
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.10961

Abstract

In the digitalization and automation era, the internet has become an inseparable part of human life It provides a place for devices that are connected and can be controlled wirelessly through a network infrastructure, which is called the internet of things (IoT). In this research, the dual mode system of smart home based on IoT is proposed. In this system, the smart home can be controlled both manually and automatically. The key component for the proposed system is the relay mode which can be controlled to select the mode. The hardware implementation was done to test the proposed system with good result. Blynk app is used to control in automatic mode with virtual switch. When the manual mode is selected, the automatic mode is turned off and vice versa.
Induction Motor Torque Measurement using Prony Brake System and Close-loop Speed Control Hari Maghfiroh; Arthur Joshua Titus; Augustinus Sujono; Feri Adriyanto; Joko Slamet Saputro
International Journal of Robotics and Control Systems Vol 2, No 3 (2022)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v2i3.782

Abstract

Three-phase induction motors are the main drivers of the industrial world because of their low price and good reliability. However, this type of motor does not have built-in speed control. These problems can be overcome by utilizing the Variable Frequency Drive (VFD) inverter. This research investigates the induction motor's characteristics in every load condition and combines a VFD inverter with an external speed controller based on Arduino. The motor is mounted on a Prony brake testbed frame to measure the motor's torque and mechanical power. The test results show the highest torque value obtained is 0.57 Nm, and the highest output power value is 0.042 kW. The motor cannot maintain the setpoint speed after loading in the open-loop control system. Meanwhile, the closed-loop control system has been successfully implemented, and the motor can return the speed to the setpoint value after loading, with an average settling time of 14.67 seconds.
Co-Authors Abdel-Nasser Sharkawy Abu Saleh Musa Miah Adriyanto, Feri Afrizal Mayub Agus Ramelan Ahmad Jaelani Sidik Alfian Ma’arif Angelo Marcelo Tusset Anif Jamaluddin Anisa Ulya Darajat Arif Wibowo Arthur Joshua Titus Atinkut Molla Augustinus Sujono Augustinus Sujono Azis Ubaidilah Berlian Shanaza Andiany Catur Harsito Chico Hermanu Chico Hermanu Chico Hermanu Chico Hermanu Chico Hermanu Daru Kusumastuti Dimas Dwika Saputra Dodi Saputra Fahmizal Fahmizal Fahmizal Fahmizal Henry Probo Santoso Henry Probo Santoso Heriansyah Hidayat Nur Isnianto Inayati Inayati Inayati Inayati Innes Danarastri Joko Slamet Saputro Mariusz Jabłoński Matthew Sebastian Pratikno Maulana Afif Miftahul Anwar Miftahul Anwar Mohammad Farhan Ferdous Mufti Reza Aulia Putra Muhammad Ahmad Baballe Muhammad Arrofiq Muhammad Hamka Ibrahim Muhammad Hamka Ibrahim Muhammad Hamka Ibrahim Muhammad Hammam Al-Choiri Muhammad Nizam Muhammad Renaldy Darmawan Musyaffa’ Ahmad Phichitphon Chotikunnan Pinto Anugrah Piotr Borkowski Priyova Muhammad Rafief R Lulus Lambang GH Rahmadhia, Safinta Nurinda Rania Majdoubi Rebbeka Siswandina Sari Ricky Aston Susetyo Subuh Pramono Supriyanto Praptodiyono Supriyanto Praptodiyono Supriyanto Praptodiyono Supriyanto Praptodiyono swadexi istiqphara URI ARTA RAMADHANI Vernanda Sitorini Zul Hizmi Yulian Lingga Permana Zainal Arifin